Powerful AI platform built to improve Bank-wide traceability and governance

AI in Banking

AI in Banking

Enable Error-free Auditing

Analyze your bank’s financial data, recognize the trends and error patterns to generate accurate reports for the audit team

AI in Banking

Reconcile Transactions Faster

Rule-based AI platform allows you to manage all cash transactions performed between vault, ATM, teller machines, and customers

AI in Banking

Predict and Minimize Risks

Maintain your KYC information in a centralized database, perform risk assessment, and predict risk to take necessary measures

What AIFA does for BFSI

The main aim of having an Artificial Intelligence platform in the banking and finance sector is to gain insights into the customers’ preferences and provide them high-quality experience.

When AIFA (Artificially Intelligent Futuristic Applications) is installed in your banking and financial organization, it would help you examine the database and make it easy for you to forecast and execute tailored services to customers.

AIFA helps you gain quick information on financials and forecasts market progress to help you plan your organization’s future strategies.

AI in Banking

Impact of AIFA on BFSI

32%

financial institutions use AI

70%

customers prefer chatbots

10%

support calls reduced by using AI

80%

Is the recorded success rate of chatbots

Key Performance Indicators of AIFA
for BFSI

  • Automate banking operations
  • Analyze huge volume of data at record speed
  • Derive valuable insights for effective decision making
  • Create operational efficiencies
  • Increase employee productivity
  • Augment tasks with software robotics
  • Reduce fraud and security risks
  • Provide more personalized solutions to customers
  • Accelerate growth through digitization and automation

How important is AI in BFSI

AI in Banking

By adopting AI technology, BFSI organizations can easily uncover the insights from all their structured and unstructured data, deliver breakthrough experiences to their customers, and make their businesses future-proof.

  • Develops a better understanding of customers’ behavior
  • Enables you to customize financial products and services by adding or removing features
  • Chatbots delivers intuitive responses to build meaningful customer engagement
  • Enhances customer experience and builds stronger relationships with them
  • Analyzes past customer behaviors to predict future trends
  • Identifies actions and detects suspicious data patterns to prevent fraud and money-laundering that can help you save millions
  • AI studies data to enable you to successfully increase up-selling and cross-selli
  • Automates a variety of information-intensive operations
  • Make complex and cost-oriented process management easy and error-free
  • Improvises tasks based upon their previous iterations through constant machine learning
  • Chatbots analyze customer behavior to identify their context and emotions in the chat and respond to it in the most appropriate way
  • Supports customers round the clock
  • Can handle multiple queries simultaneously
  • Reduce overhead costs and improve cumulative savings
  • An AI-enabled system can learn, think, and respond like humans
  • Acts as a repository of expert information allowing you to generate reports based on real-time data
  • You can use these reports to gain in-depth insights into all operations to make strategic decisions
  • AI automates the majority of repetitive work processes by applying Robotic Process Automation (RPA)
  • This transformation allows your employees to dedicate their time to perform value-adding operations that requires higher levels of intricacy

BUSINESS BENEFITS

AI in Banking

IMMEDIATE

  • Saves time & costs
  • Increases productivity
  • Eliminates human errors
  • Takes over the mundane, redundant tasks
  • Can be mobile enabled
  • Scalable in terms of machines, systems and companies
AI in Banking
AI in Banking

LONG TERM

  • Amplifies the growth of core business
  • Augments human talent
  • Ability to restructure organization
  • No bias when sifting through data (specially SM data)
  • Hiring/initial screening in recruitments can be done through AI
  • Initial marketing steps of new product launches can be automated

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